@eaton I wonder if you can just throw the LLM at it in the small percentage of cases where the strength/confidence of the output was low? Basically use the cheap classifier as a preprocessing step?
@eaton I wonder if you can just throw the LLM at it in the small percentage of cases where the strength/confidence of the output was low? Basically use the cheap classifier as a preprocessing step?
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